Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Editing transformation data types

Editing transformation data types

When
Data Integration
reads source data, it converts the native data types to comparable transformation data types before it transforms the data. When
Data Integration
writes to a target, it converts the transformation data types to the comparable native data types. When you edit source metadata, you can sometimes change the transformation data type for a field.
You can change the transformation data type for connectors in which the native data type has multiple corresponding transformation data types.
For example, in a Kafka source, you can map the native data type binary to the transformation data type binary or string.
To change the transformation data type, edit the metadata for the source, and select the appropriate transformation data type in the
Type
column.
When you edit the transformation data type for a field,
Data Integration
updates the data type for the field in the downstream transformations. It also updates the data type for the field in the target if the target is created at runtime. If the mapping contains an existing target, you might need to edit the field metadata in the target to ensure that the data types are compatible.
For more information about editing transformation data types for different source types, see the help for the appropriate connector.

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